Abstract
In this paper, we identify a conceptual framework to explore notions of spatiotemporal aggregate operations over moving objects, and use this framework to discover novel aggregate operators. Specifically, we provide constructs to discover temporal and spatial coverage of a query window that may itself be moving, and identify quantitative properties of entropy relating to the motion of objects.
Cite
CITATION STYLE
Maughan, L., McKenney, M., & Benchley, Z. (2014). A model of aggregate operations for data analytics over spatiotemporal objects. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8823, pp. 234–240). Springer Verlag. https://doi.org/10.1007/978-3-319-12256-4_25
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